Databricks

Senior Staff Software Engineer to tech lead Unity Catalog Runtime Enforcement, building and hardening the runtime enforcement layer for secure, consistent authorization and data access across Databricks compute, engines, and clouds.

Senior Staff Software Engineer to tech lead Unity Catalog Runtime Enforcement, building and hardening the runtime enforcement layer for secure, consistent authorization and data access across Databricks compute, engines, and clouds.

Senior Staff Software Engineer to tech lead Unity Catalog Runtime Enforcement, building and hardening the runtime enforcement layer for secure, consistent authorization and data access across Databricks compute, engines, and clouds.

Senior Staff Software Engineer for Databricks' Engineering team, focusing on backend development for enterprise data and AI infrastructure products. The role involves full ownership of product or infrastructure direction, driving scalable solutions with business impact, and mentoring senior engineers. Requires deep expertise in large-scale distributed systems and experience preventing/investigating production issues.

Databricks is seeking a Scale Solutions Engineer to advise customers on onboarding and deploying the Databricks platform in their production environments, accelerating feature adoption. The role involves providing technical assistance, becoming a platform expert, and guiding customers on technical decisions.

This role is for a Sr. Manager of Field Engineering in Healthcare and Life Sciences, leading a pre-sales Solutions Architect team. The focus is on enterprise software, big data, data engineering, and data science solutions within large healthcare insurance accounts. Responsibilities include team leadership, sales collaboration, customer success, and technical guidance.

Databricks is seeking a Platform Monitoring Engineer to join their Platform Monitoring Team. This role focuses on platform reliability, incident response, and observability for the Databricks Data and AI infrastructure platform. Responsibilities include leading incident investigations, conducting root cause analysis, designing alerting and observability workflows, and building automation tools. Requires experience with SRE/DevOps, cloud providers, containerization, and monitoring tools like ELK, Prometheus, and Grafana.

This role manages critical customer issues and major incidents by coordinating efforts between internal teams (engineering, product management, Customer Success Engineering, Support) and external partners to ensure timely resolution and customer satisfaction. The role requires experience in customer support, escalation, SRE, or incident management, along with skills in distributed big data computing, SQL, data warehousing, ETL, Linux/Unix, networking, and cloud platforms (AWS, Azure, GCP).

Databricks is seeking a Staff Frontend Engineer to work on their data and AI infrastructure platform. The role involves designing and shipping reusable UI components, defining application bootstrapping and navigation, delivering frontend data clients, and creating platform components for data exploration and visualization. The engineer will partner with feature teams to implement single-console experiences. The role requires 10+ years of experience in frontend technologies and a passion for user experience and front-end architecture.

Databricks is seeking a Principal Engineer for their Authentication team. This role focuses on creating the vision and strategy for authentication within their data and AI platform, balancing security with user experience. The engineer will recruit and mentor talent, act as the voice of Security Engineering, and drive data-driven decisions. The role requires extensive experience in data security, large-scale distributed systems, and leadership skills, with a focus on building secure and scalable authentication systems for a data and AI platform.

Databricks is seeking a Principal Engineer for their Authentication team. This role will focus on creating the vision and strategy for authentication on their data and AI platform, balancing security with user experience. Responsibilities include crafting a long-term vision, recruiting and mentoring talent, acting as the voice of Security Engineering, and presenting security innovations. The ideal candidate has 10+ years of experience in Data Security, including expertise in areas like Authentication, Network Security, and Identity Management, along with 15+ years of experience building large-scale distributed systems.

Sr. Staff Security Engineer, Incident Response role at Databricks. This position focuses on leading complex security investigations, developing multi-year technology strategy for security posture, and architecting automation frameworks for incident response. The role leverages Databricks' platform for log analytics and forensics, and requires expertise in cloud security, digital forensics, and enterprise security incidents. The candidate will also mentor team members and collaborate across departments.

Databricks is seeking a Sr. Solutions Engineer in Italy to help clients leverage their Data Intelligence Platform. The role involves building client relationships, demonstrating the platform's capabilities through hands-on evaluation and programming, contributing to the technical community, and acting as a Big Data Analytics advisor. The ideal candidate will have experience with client interactions, solution architecture, Big Data Analytics, and programming in Python, Java, or Scala.

Databricks is seeking a Staff Software Engineer for their Backend team in London. This role involves working on the core Lakehouse Platform, focusing on distributed systems, large-scale service architecture, workflow orchestration, and developer experience. The engineer will build reliable, secure, and high-performance services for data storage and access, solve reliability issues, and improve system uptime. The position requires significant production experience in backend development, particularly with large-scale distributed systems and SaaS platforms.

Databricks is hiring a Sr. Staff Software Engineer for their Observability team. This role will build and manage next-generation observability platforms for Databricks' large-scale data and AI infrastructure, processing petabytes of logs and billions of time series daily. The engineer will develop advanced workflows for incident diagnosis, uplevel monitoring practices, and mentor other engineers. Requires 15+ years of experience in languages like Go, Python, Scala, Rust, C++, experience with large-scale distributed systems, cloud technologies, and familiarity with observability infrastructure.

Senior Engineering Manager to lead a team focused on Security, Access, and Regulatory Compliance for Databricks' Data and AI platform. The role involves building and scaling the team, defining strategy for secure frameworks, and ensuring security/compliance by design.

Manager for a team of technical pre-sales Solutions Architects and Solutions Engineers in Italy, focusing on leading the team, driving revenue, coaching sales and pre-sales, and building relationships with partners in large corporations.

Databricks is seeking a Sr. Staff/Staff Backline Technical Solutions Engineer to resolve complex customer escalations on the Databricks platform, acting as a bridge between support and engineering. The role involves troubleshooting, providing best practices, creating guides, contributing to automation, and identifying supportability features. Requires extensive experience in supporting applications, scripting, distributed big data computing, SQL databases, Linux, networking, and cloud services.

Senior Engineering Manager to lead a team focused on Security, Access, and Regulatory Compliance for Databricks' Data and AI platform. The role involves building and scaling the team, defining strategy for secure frameworks, and ensuring security/compliance by design.

Engineering Manager for Databricks' Lakeflow Connect team in India, focusing on data ingestion into the Lakehouse from various sources. The role involves leading a team, managing technical debt, and collaborating with product leadership to build and operate scalable cloud services.

This role is a Specialist Solutions Architect focused on Data Warehousing for Healthcare & Life Sciences customers, guiding them through cloud transformations using the Databricks Data Intelligence Platform. It involves technical leadership, architecture design, production planning, performance tuning, and supporting the sales process for BI workloads.

This role provides technical support and guidance for the Databricks unified analytics platform, assisting customers with complex issues, best practices, performance improvements, and third-party integrations. It involves troubleshooting, documentation, and collaboration with engineering teams, with a focus on customer advocacy and platform expertise.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements involving big data and the Databricks platform. Responsibilities include designing and building reference architectures, creating how-to's, productionalizing customer use cases, consulting on architecture, and providing escalated support. The role requires experience in data engineering, data platforms, analytics, Python/Scala, cloud ecosystems, Apache Spark, CI/CD, MLOps, and technical project delivery.

Databricks is seeking a Principal Engineer to lead Compute Fleet Management, focusing on optimizing and scaling cloud compute infrastructure across AWS, Azure, and GCP. This role is critical for improving gross margin and customer experience by pioneering fleet optimization, delivering hyper-scale resilience, and owning the critical path for the compute platform. The ideal candidate will have a strong background in distributed systems and experience operating large-scale infrastructure, with a preference for GPU fleet management for AI/ML workloads.

Databricks is seeking a Staff Software Engineer for their Observability team to build and manage next-generation observability platforms for their large-scale data and AI infrastructure. The role involves developing solutions for monitoring reliability, accelerating incident diagnosis, and upleveling monitoring practices across the company, leveraging Databricks' own data intelligence platform.

Engineering Manager for Databricks' Spark Structured Streaming team, focusing on building and enhancing stream processing capabilities within the Databricks Data Intelligence Platform. The role involves leading a team to improve engine architecture, state management, and performance for both open-source Spark and Databricks-specific components.

Databricks is seeking a Staff Software Engineer for their Backend, DDS, or Full Stack teams in Bengaluru, India. This role involves working on large-scale distributed systems, SaaS platforms, and service-oriented architectures, focusing on data and AI infrastructure. The engineer will contribute to building and running the company's data and AI platform, enabling customers to solve complex problems using data insights.

Databricks is seeking a Senior Software Engineer - Backend to build and scale infrastructure for their data and AI platform. The role involves developing foundational infrastructure, cloud-agnostic abstractions, and tools to enhance engineering efficiency, focusing on large-scale distributed systems and SaaS platforms.

Executive IT Support role at Databricks, focusing on providing white-glove technical support to C-level executives and senior leadership. Responsibilities include resolving technical issues, anticipating needs, managing escalations, and partnering with IT teams to enhance executive productivity. Requires 5+ years of IT support experience, with at least 2 years supporting executive leadership, and advanced skills in Okta, endpoint management, and Google Workspace.

Senior Staff Software Engineer role focused on the core write-path operations for Delta Lake, the storage layer behind Databricks Lakehouse. The role involves designing, developing, and maintaining robust backend systems for massive scale, high QPS, and low latency, with a focus on performance innovations and technical leadership.

Senior Staff Software Engineer role focused on the core write-path operations for Delta Lake, the storage layer behind Databricks Lakehouse. The role involves designing, developing, and maintaining robust backend systems for massive scale, high QPS, and low latency, with a focus on performance innovations and technical leadership.

Senior Staff Software Engineer role focused on the core write-path operations for Delta Lake, the storage layer behind Databricks Lakehouse. The role involves designing, developing, and maintaining robust backend systems for massive scale, high QPS, and low latency, with a focus on performance innovations and technical leadership.

Senior Staff Software Engineer role focused on the core write-path operations for Delta Lake, the storage layer behind Databricks Lakehouse. The role involves designing, developing, and maintaining robust backend systems for massive scale, high QPS, and low latency, with a focus on performance innovations and technical leadership.

Databricks is seeking a Senior Manager of Identity & Access Management (IAM) to lead teams responsible for building and operating enterprise-wide identity, authentication, authorization, and access governance systems. The role involves owning the strategy, architecture, and execution of IAM capabilities to ensure secure, scalable, and user-friendly systems aligned with Zero Trust principles, supporting global growth and customer trust. Responsibilities include defining strategy and roadmap, building and leading high-performing teams, overseeing IAM architecture and engineering, managing governance and compliance programs, and fostering cross-functional partnerships.

Staff Software Engineer to drive the next generation of Databricks' logging infrastructure, focusing on scalable and efficient logging solutions for observability across all Databricks services. The role involves designing and scaling a platform processing petabytes of logs daily, optimizing delivery pipelines for low-latency ingestion and querying, enhancing log accessibility, and improving reliability and cost-efficiency.

Databricks is seeking a Senior Solutions Engineer to join their team in Aarhus, Denmark. This role involves building relationships with clients, demonstrating the Databricks Data Intelligence Platform, and providing technical and business value. The engineer will also contribute to the technical community and develop into a Solutions Architect. The position requires coding skills in Python or SQL, knowledge in Big Data Analytics, and familiarity with major public cloud platforms.

Engineering Manager to lead the Identity and Access Management (IAM) team, focusing on authentication, authorization, and identity services for Databricks' data and AI platform. The role involves defining strategy, building and scaling a team, providing technical oversight for large-scale distributed systems, ensuring regulatory compliance, and attracting talent.

Senior Software Engineer focused on backend systems and application frameworks for the Databricks platform, with a deep understanding of JVM internals, performance optimization, and distributed systems.

Databricks is seeking a Director of Engineering to lead critical infrastructure initiatives for their data and AI platform. This role involves building and operating distributed systems, driving efficiency, reliability, and automation, and integrating AI-driven tooling into the infrastructure. The ideal candidate will have extensive experience in large-scale cloud infrastructure, team management, and translating requirements into execution plans.

Director of Engineering for Data Infrastructure at Databricks, focusing on building and leading teams responsible for the reliability, correctness, and scalability of the company's monetization and data ingestion infrastructure. The role emphasizes architecting systems that handle petabytes of data and billions in daily transactions with extremely high accuracy and uptime requirements, positioning infrastructure as a product.

Databricks is seeking a Staff Backline Engineer to resolve complex customer escalations related to Apache Spark, Delta Lake, and Structured Streaming. This role involves deep code-level analysis, providing best practices, contributing to automation, and acting as a technical bridge between support and engineering. The ideal candidate has extensive experience in developing, testing, and sustaining Python, Java, or Scala applications, with a strong understanding of Spark internals and JVM-based troubleshooting.

Senior Frontend Engineer focused on Dashboards to build intuitive and scalable end-to-end experiences for creating, exploring, and sharing insights from data within the Databricks Data Intelligence Platform.

This role is for a Sr. Manager, Field Engineering (Specialist) at Databricks, focusing on leading a team of Partner Solution Architects. The primary responsibility is to mature the consulting and SI partner development function by providing technical guidance for partner pre-sales and data analytics delivery organizations. The goal is to accelerate customer success and Databricks DBU consumption through a global partner ecosystem by enabling partners to build technical points of view, identify offers, and guide adoption of the Databricks platform. The role requires experience in hiring and managing technical teams, senior pre-sales or post-sales experience in Big Data, Cloud, or SaaS, and a technical background in Data Engineering or Data Science.

This Principal Engineer role at Databricks focuses on Privacy within the Trust & Safety team, aiming to enhance the security and trustworthiness of their data and AI infrastructure platform. The role involves identifying and plugging security gaps, building large-scale distributed systems, and representing security engineering across the organization. While the company is in the data and AI space, this specific role is centered on security and privacy engineering, not direct AI/ML model development.

This role is for a Director of Engineering focused on building and leading the data infrastructure organization at Databricks. The primary focus is on ensuring the reliability, correctness, and scalability of systems that handle petabytes of data and billions of daily transactions, particularly for billing and monetization. The role involves architecting foundational teams, defining infrastructure vision, and ensuring operational resilience and disaster recovery for critical business systems.

Databricks is seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. The role involves designing and automating networking foundations for large-scale compute clusters across major cloud providers, connecting millions of VMs. Responsibilities include leading the design and development of secure and scalable connectivity for data and AI workloads, and collaborating with cross-functional teams.

Seeking experienced Senior Software Engineers to join the Networking Infrastructure team. The role involves designing and automating networking foundations for large-scale compute clusters across major cloud providers, connecting millions of VMs. Responsibilities include leading the design and development of secure and scalable connectivity for data and AI workloads, working with cross-functional teams to deliver robust systems.